TY - GEN
T1 - Real-Time Characteristics Identification for Partial Shaded Photovoltaic Strings
AU - Hong, Dou
AU - Ma, Jieming
AU - Man, Ka Lok
AU - Wen, Huiqing
AU - Wong, Prudence
N1 - Funding Information:
This research is supported by the Natural Science Foundation of China (Grant No. 61702353, 62002296), the Natural Science Foundation of Jiangsu Province (Grant No. BK20200250), the Suzhou Science and Technology Project-Key Industrial Technology Innovation (Grant No. SYG202006), Qing Lan Project of Jiangsu Province, the Key Program Special Fund of Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, (Grant No. KSF-A-19, KSF-E-65, KSF-P-02, KSF-E-54), the XJTLU Research Development Fund, (Grant No. RDF-17-02-04), and the XJTLU Postgraduate Research Scholarship (Grand No. PGRS1906004).
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - When Photovoltaic (PV) strings are under partial shading conditions, the current-voltage (I-V) characteristic curve shows multiple stairs, which brings challenges to power management, especially in real-Time. In this paper, a characteristic matrix is used to characterize the multi-peak current-voltage characteristics curve. In addition, a light characteristics identification algorithm is proposed to extract the characteristic matrix from the measured I-V data. The proposed algorithm only requires limited points in the I-V curve, and the information of turning points on the I-V curve can be estimated. The technique has been evaluated under four environmental conditions in experiments, and the results verify the accuracy of the proposed method.
AB - When Photovoltaic (PV) strings are under partial shading conditions, the current-voltage (I-V) characteristic curve shows multiple stairs, which brings challenges to power management, especially in real-Time. In this paper, a characteristic matrix is used to characterize the multi-peak current-voltage characteristics curve. In addition, a light characteristics identification algorithm is proposed to extract the characteristic matrix from the measured I-V data. The proposed algorithm only requires limited points in the I-V curve, and the information of turning points on the I-V curve can be estimated. The technique has been evaluated under four environmental conditions in experiments, and the results verify the accuracy of the proposed method.
KW - Characteristics Identification
KW - partial shading conditions
KW - photovoltaic strings
KW - real-Time modeling
KW - solar energy
UR - http://www.scopus.com/inward/record.url?scp=85123349439&partnerID=8YFLogxK
U2 - 10.1109/ISOCC53507.2021.9613983
DO - 10.1109/ISOCC53507.2021.9613983
M3 - Conference Proceeding
AN - SCOPUS:85123349439
T3 - Proceedings - International SoC Design Conference 2021, ISOCC 2021
SP - 185
EP - 186
BT - Proceedings - International SoC Design Conference 2021, ISOCC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International System-on-Chip Design Conference, ISOCC 2021
Y2 - 6 October 2021 through 9 October 2021
ER -